Trajectory prediction is a safety-critical tool for autonomous vehicles to plan and execute
actions. Our work addresses two key challenges in trajectory prediction, learning multimodal …

We present a novel framework for motion forecasting with Dual Consistency Constraints and
Multi-Pseudo-Target supervision. The motion forecasting task predicts future trajectories of …

We present a novel framework to bootstrap Motion forecasting with Self-consistent
Constraints (MISC). The motion forecasting task aims at predicting future trajectories of …

We propose advances that address two key challenges in future trajectory prediction:(i)
multimodality in both training data and predictions and (ii) constant time inference …

Trajectory forecasting is crucial for the advancement of autonomous vehicles. While much
progress has been made, extant approaches often fall short in accounting for intricate social …

Methods and systems for training a trajectory prediction model and performing a vehicle
maneuver include encoding a set of training data to generate encoded training vectors …